Genetic determinants of the acute respiratory distress syndrome

E Suarez-Pajes, E Tosco-Herrera… - Journal of Clinical …, 2023 - mdpi.com
Acute respiratory distress syndrome (ARDS) is a life-threatening lung condition that arises
from multiple causes, including sepsis, pneumonia, trauma, and severe coronavirus disease …

AI-MARRVEL—A Knowledge-Driven AI System for Diagnosing Mendelian Disorders

D Mao, C Liu, L Wang, R AI-Ouran, C Deisseroth… - NEJM AI, 2024 - ai.nejm.org
Background Diagnosing genetic disorders requires extensive manual curation and
interpretation of candidate variants, a labor-intensive task even for trained geneticists …

[HTML][HTML] Biliary atresia is associated with polygenic susceptibility in ciliogenesis and planar polarity effector genes

JT Glessner, MB Ningappa, KA Ngo, M Zahid, J So… - Journal of …, 2023 - Elsevier
Background & Aims Biliary atresia (BA) is poorly understood and leads to liver
transplantation (LT), with the requirement for and associated risks of lifelong …

Explicable prioritization of genetic variants by integration of rule-based and machine learning algorithms for diagnosis of rare Mendelian disorders

HH Kim, DW Kim, J Woo, K Lee - Human Genomics, 2024 - Springer
Background In the process of finding the causative variant of rare diseases, accurate
assessment and prioritization of genetic variants is essential. Previous variant prioritization …

An AI-based approach driven by genotypes and phenotypes to uplift the diagnostic yield of genetic diseases

S Zucca, G Nicora, F De Paoli, MG Carta, R Bellazzi… - Human Genetics, 2024 - Springer
Identifying disease-causing variants in Rare Disease patients' genome is a challenging
problem. To accomplish this task, we describe a machine learning framework, that we called …

Refined preferences of prioritizers improve intelligent diagnosis for Mendelian diseases

X Yuan, J Su, J Wang, B Dai, Y Sun, K Zhang, Y Li… - Scientific Reports, 2024 - nature.com
Phenotype-guided gene prioritizers have proved a highly efficient approach to identifying
causal genes for Mendelian diseases. In our previous study, we preliminarily evaluated the …

[PDF][PDF] Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

E Alsentzer, MM Li, SN Kobren, A Noori… - medRxiv, 2022 - scholar.archive.org
There are more than 7,000 rare diseases, some of which affect 3,500 or fewer patients in the
US. Due to clinicians' limited experience with such diseases and the considerable …

Computational genomics and bioinformatics

L Vestito, V Cipriani, D Smedley - Genomics, Populations, and Society, 2025 - Elsevier
This chapter provides an overview of how genomics is helping in the areas of diagnostics
and the discovery of new disease-associated genes, particularly for rare Mendelian …

Benchmarking whole exome sequencing pipeline for predicting pathogenic variants of significance

RM Raju, UP Singh, P Suravajhala - bioRxiv, 2023 - biorxiv.org
Benchmarking whole exome pipelines is crucial for evaluating and comparing their
performance in variant calling and clinical significance annotation. It enables researchers …